A survey on improving NLP models with human explanations

19 April 2022

Papers citing "A survey on improving NLP models with human explanations"

9 / 9 papers shown

Title
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 36 1 0 23 Jul 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 65 26 0 25 Jan 2024
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations Zilu Tang Mayank Agarwal Alex Shypula Bailin Wang Derry Wijaya Jie Chen Yoon Kim LRM 35 15 0 13 Nov 2023
Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation Camélia Guerraoui Paul Reisert Naoya Inoue Farjana Sultana Mim Shoichi Naito Jungmin Choi Irfan Robbani Wen Wang Kentaro Inui ReLM LRM 24 1 0 28 Jul 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 40 9 0 30 Oct 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 27 16 0 13 Jun 2022
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 38 43 0 05 May 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018